Decomposition of potato yield gap in the Andean north of Peru
A crop modeling approach
Background
This repository is designed to provide comprehensive documentation of the R code used for the analysis of yield gap decomposition, integrating both crop modeling and stochastic frontier analysis.
Libraries and extra R-files
The following libraries were used:
# libraries
library(nasapower)
library(meteor)
library(lubridate)
library(Metrics)
library(dplyr)
library(tidyr)
library(minpack.lm)
library(ggplot2)Additionally, extra R-files need to be loaded.
Field experiment and data collection
A field experiment was conducted to determine the potential yield of the five most commonly grown potato varieties in Chugay, La Libertad, Peru: Amarillis, Bretaña, Huevo de Indio, Poderosa, and Yungay. These varieties were managed under optimal growing conditions to assess their yield potential. The trial took place from 24th October 2023 to 18th April 2024, providing insights into how these varieties perform in a local context under “ideal” conditions.